Hi All, I am running Spark & MR on Mesos. Is there a configuration setting for Spark to define the minimum required slots (similar to MapReduce's mapred.mesos.total.reduce.slots.minimum and mapred.mesos.total.map.slots. minimum)? The most related property I see is this: spark.scheduler. minRegisteredResourcesRatio found on the documentation here: http://spark.apache.org/docs/1.2.1/configuration.html#spark-properties What I wanted to have is a fixed amount of trackers assigned for Spark so I can share my cluster with MR. Any suggestion on parts of code or documentation that I should check for a full list of available configurations?
thanks, Stratos
